#17 Guardrails for RAG & Agentic AI Systems | Guardrails, PII & Injection Attacks | Sandboxing скачать в хорошем качестве

#17 Guardrails for RAG & Agentic AI Systems | Guardrails, PII & Injection Attacks | Sandboxing

🔐 Guardrails & Safety for LLMs (PII, Prompt Injection & Sandboxing) LLMs are powerful—but unsafe by default. In this video, we break down guardrails and safety mechanisms required to run LLMs, RAG pipelines, and Agentic AI systems securely in production. You’ll learn how teams prevent PII leaks, defend against prompt injection attacks, and safely execute tools using sandboxing. If you’re deploying chatbots, copilots, or autonomous agents, this video shows how to protect users, data, and systems. 🚀 What You’ll Learn ✅ What LLM Guardrails are and why they matter ✅ How PII detection, masking & redaction works ✅ Types of Prompt Injection attacks (direct & indirect) ✅ How to secure RAG pipelines from injection ✅ Sandboxing tools & code execution safely ✅ Input, output & runtime validation strategies ✅ Defense-in-depth architecture for LLM systems ✅ Real-world LLM security failures & fixes 🧠 Topics Covered PII Handling & Data Privacy Prompt Injection & Jailbreaks Indirect Injection via Documents Tool Access Control Sandboxed Execution Environments Policy Enforcement & Safety Filters Secure Agentic Workflows 🏗️ Real-World Use Cases Enterprise Chatbots RAG-based Knowledge Assistants Autonomous Agents & Tool Use Customer Support AI Internal Copilots Handling Sensitive Data 👨‍💻 Who This Video Is For AI / ML Engineers Backend Engineers Security Engineers Platform & MLOps Teams Anyone deploying LLMs in production 👍 Like | Share | Subscribe If this video helped you understand LLM guardrails & safety, like 👍 and subscribe for more Agentic AI & RAG deep dives. #LLMGuardrails #LLMSecurity #AISafety #PromptInjection #PIIProtection #Sandboxing #RAG #AgenticAI #AIInProduction #MLOps #SecureAI #LLMAgents